Results 81 to 90 of about 1,291 (262)
Performance Improvements in Inner Product Encryption
Consider a database that contains thousands of entries of the iris biometric. Each entry identifies an individual, so it is especially important that it remains secure.
Riback, Serena
core
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
Convolutional neural network model over encrypted data based on functional encryption
Currently, homomorphic encryption, secure multi-party computation, and other encryption schemes are used to protect the privacy of sensitive data in outsourced convolutional neural network (CNN) models.However, the computational and communication ...
Chen WANG, Jiarun LI, Jian XU
doaj +2 more sources
Efficient Multi-keyword Ranked Search over Outsourced Cloud Data based on Homomorphic Encryption
With the development of cloud computing, more and more data owners are motivated to outsource their data to the cloud server for great flexibility and less saving expenditure.
Nie Mengxi, Ran Peng, Yang HaoMiao
doaj +1 more source
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang +5 more
wiley +1 more source
Efficient Lattice-Based Inner-Product Functional Encryption
sponsorship: The authors were supported by EU's Horizon 2020 FENTEC project. Angshuman Karmakar is funded by FWO (Research Foundation -Flanders) as junior post-doctoral fellow (contract number 203056/1241722N LV). Tilen Marc is supported by ARRS projects P1-0297, N1-0095, J1-1693, N1-0218 and Horizon 2020 KRAKEN project. Azam Soleimanian benefited from
Mera, Jose Maria Bermudo +3 more
openaire +3 more sources
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source
Multi-Input Inner-Product Functional Encryption from Pairings [PDF]
We present a multi-input functional encryption scheme (MIFE) for the inner product functionality based on the k-Linear assumption in prime-order bilinear groups.
Wee, Hoeteck +3 more
core +2 more sources
Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles
This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen +19 more
wiley +1 more source
Lightweight devices in the Internet of Things (IoT) typically need to store massive data on a cloud server with strong processing and storage capabilities for later retrieval and usage.
Miao Wang +3 more
doaj +1 more source

